Empirical evaluation of methods for de novo genome assembly
PeerJ Computer Science, 2021 Technologies for next-generation sequencing (NGS) have stimulated an exponential rise in high-throughput sequencing projects and resulted in the development of new read-assembly algorithms.
F. Dida, Gangman Yi
semanticscholar +1 more source
Detecting Cooperativity between Transcription Factors Based on Functional Coherence and Similarity of Their Target Gene Sets. [PDF]
PLoS ONE, 2016 In eukaryotic cells, transcriptional regulation of gene expression is usually achieved by cooperative transcription factors (TFs). Therefore, knowing cooperative TFs is the first step toward uncovering the molecular mechanisms of gene expression ...
Wei-Sheng Wu, Fu-Jou Lai
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Feature selection for microarray gene expression data using simulated annealing guided by the multivariate joint entropy [PDF]
, 2013 In this work a new way to calculate the multivariate joint entropy is presented. This measure is the basis for a fast information-theoretic based evaluation of gene relevance in a Microarray Gene Expression data context.
Belanche Muñoz, Luis Antonio +1 more
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An efficient randomised sphere cover classifier [PDF]
, 2012 This paper describes an efficient randomised sphere cover classifier(aRSC), that reduces the training data set size without loss of accuracy when compared to nearest neighbour classifiers.
Bagnall, A, Younsi, R
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Synstable Fusion: A Network-Based Algorithm for Estimating Driver Genes in Fusion Structures
Molecules, 2018 Gene fusion structure is a class of common somatic mutational events in cancer genomes, which are often formed by chromosomal mutations. Identifying the driver gene(s) in a fusion structure is important for many downstream analyses and it contributes to ...
Mingzhe Xu +5 more
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BMC Bioinformatics, 2022 Background As many complex omics data have been generated during the last two decades, dimensionality reduction problem has been a challenging issue in better mining such data. The omics data typically consists of many features. Accordingly, many feature
Tapas Bhadra +3 more
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Methods for evaluating clustering algorithms for gene expression data using a reference set of functional classes [PDF]
BMC Bioinformatics, 2006 A cluster analysis is the most commonly performed procedure (often regarded as a first step) on a set of gene expression profiles. In most cases, a post hoc analysis is done to see if the genes in the same clusters can be functionally correlated. While past successes of such analyses have often been reported in a number of microarray studies (most of ...
Datta Somnath, Datta Susmita
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New Bio-Marker Gene Discovery Algorithms for Cancer Gene Expression Profile
IEEE Access, 2019 Several hybrid gene selection algorithms for cancer classification that employ bio-inspired evolutionary wrapper algorithm have been proposed in the literature and show good classification accuracy.
Nada Almugren, Hala M. Alshamlan
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A Key Protein Recognition Algorithm Based on High-order Complex Protein Network [PDF]
International Journal Bioautomation, 2022 Although the existing protein recognition methods have improved the recognition accuracy of key proteins to a certain extent, they have ignored the biological features of the proteins.
Xiaojing Wang
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Inferring causal relations from multivariate time series : a fast method for large-scale gene expression data [PDF]
, 2009 Various multivariate time series analysis techniques have been developed with the aim of inferring causal relations between time series. Previously, these techniques have proved their effectiveness on economic and neurophysiological data, which normally ...
Li, Chang-Tsun, Yuan, Yinyin
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